KevinLiao159/MyDataSciencePortfolio

Applying Data Science and Machine Learning to Solve Real World Business Problems

44
/ 100
Emerging

Covers multiple ML domains including customer churn prediction, topic modeling with both scikit-learn and Apache Spark, and collaborative filtering recommender systems using KNN, ALS, and neural networks in Keras. Demonstrates distributed computing approaches for large-scale analysis, contrasting single-machine workflows with Spark's fault-tolerant cluster computing for processing at scale. Includes hands-on NLP implementations across NLTK, spaCy, and Gensim libraries, with notebooks designed for portability across Jupyter, Databricks, and Google Colab environments.

405 stars. No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 9 / 25
Community 25 / 25

How are scores calculated?

Stars

405

Forks

225

Language

Jupyter Notebook

License

MIT

Last pushed

Jul 05, 2020

Commits (30d)

0

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